CGRL at UC Berkeley’s QB3 aims to facilitate research programs employing computational biology with computational infrastructure for data analysis, training in analytical tools for next-generation sequence data, and project-specific consultation on experiment design and analysis.
The Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture, and high-performance software implementation. They collaborate directly with scientists across the Berkeley Lab, the Department of Energy, and industry to solve some of the world’s most challenging computational and data management and analysis problems in a broad range of scientific and engineering fields, including materials science, biology, climate modeling, astrophysics, fusion science, and many others.
D-Lab helps Berkeley faculty, staff, and graduate students move forward with world-class research in data-intensive social science. They offer a venue for methodological exchange from all corners of campus and across its bounds. D-Lab's signature focus is research design—intelligent, rigorous, and tuned to the transformative opportunities opened up by a data-rich world. They provide cross-disciplinary resources for in-depth consulting and advising, access to staff support, and training and provisioning for software and other infrastructure needs.
The Berkeley Demography Lab is the cloud computing facility for the Berkeley demography community. The lab provides a computing environment optimized for research and teaching in demography. All of the popular tools of data science and statistics are supported, and consulting help is available from our professional staff and wider community. Users have access to large amounts of disk space and sufficient RAM to operate on large social science datasets either remotely or using workstations in our computer lab.
The Department of Statistics is engaged in research and education in probability and statistics. In addition to developing fundamental theory and methodology, they are actively involved in statistical problems that arise in such diverse fields as molecular biology, geophysics, astronomy, AIDS research, neurophysiology, sociology, political science, education, demography, and the U.S. Census.
EECS offers research and instructional programs in electrical engineering and computer science. Their key strengths lie in the integration of fundamental theoretical ideas with practical applications, leading to a wide range of cross-disciplinary, collaborative projects. The integration of electrical engineering and computer science forms the core, with strong interactions that extend into biological sciences, mechanical and civil engineering, physical sciences, chemistry, mathematics, operations research, and more.
ECAI, established in 1997 by Emeritus Prof. Lewis Lancaster of UC Berkeley, is a digital humanities initiative involving numerous professors and institutions around the world with the stated goal of creating a networked digital atlas by creating tools and setting standards for dynamic, digital maps.
The Energy Frontier Research Center for gas separations relevant to clean air technologies at UC Berkeley focuses on the energy costs associated with the separation of CO2 from gas mixtures. The long-term goal of this EFRC is to develop the science and materials that will contribute to the reduction of the parasitic energy costs of carbon capture and sequestration.
Founded in 2004, the XLab is a laboratory for conducting experiment-based investigations on issues of interest to social scientists. XLab enables researchers to explore the wellsprings of human decision making, especially where it involves decisions with monetary consequences. The XLab is thus an "economics wind tunnel" whereby social scientists can test out various theories that help us understand economics and other forms of human behavior.
The GIF at UC Berkeley's College of Natural Resources provides leadership and training across a broad array of integrated mapping technologies. Our goal is to help people better understand the changing world through the analysis and visualization of spatial data. We develop engaging applications that leverage and build upon state-of-the-art geospatial and web technologies and provide opportunities for researchers to learn how they can use spatial data to answer critical questions.